Оцінювання якості функціонування електричних мереж з відновлюваними джерелами енергії
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The dissertation devoted by scientific and technical problem solution, which consists
in developing methods and means for assessing the quality of electric networks
functioning with renewable energy sources.
The quality functioning of electric networks is characterized by the quality of electric
energy, electricity supply reliability, economic efficiency, and other. Using research
results carried out by the author in his previous papers, it is proposed to determine the
integral index of electric networks quality functioning according to the model obtained by
a combination of Markovs theories processes and similarity, which allows us to move
from vector to scalar.
In order to take into account in the integral index of electric energy quality and level
of electricity losses it is proposed to determine the probability of correspondence the
actual regime to the "ideal". "Ideal" regime is determined by the basis principle of least
action and corresponds to the network which formed by r-scheme. This approach can
change allows regime parameters analysis to the nodes currents analysis of consumption
and generation.
Since the "ideal" network is adopted for the basis, it is possible to perform a electrical
networks comparison of different configurations and a set of consumed and generating
capacities without performing technical and economic calculations.
It is shown that the problem of electric networks development with discrete variables
can be solved by methods based on dynamic programming. However, for this purpose, it is
necessary to develop formalized optimization procedures using the dynamic programming
optimality principle. For this purpose, optimal conditions have been obtained, by which
one can choose the optimal development strategy from the set of possible ones. In
accordance with these conditions, the strategy is optimal, for the various possible states,
the ratio of incremental costs to increments of the integral quality functioning indicator.
To avoid the negative consequences of the introduction of unreasonably powerful
sources in electrical networks, the method of optimal installed power of the source has
been improved. The developed method, based on information on the volume, consumption
graph and available points of generating objects connection, allows you to determine the
installed capacity of RES, which will ensure the improvement of the network operation
quality. Using leading countries the experience in the renewable energy sources
implementation shown that measures are needed to adjust consumption curves. The
mechanisms developed in the world allow to implement demand management. The
method of determination consumers which load graph change will have the greatest effect
in providing the necessary level of electric networks quality functioning. An algorithm for
implementing a method based on a transport task is developed and allows for the
economic component of adjusting consumption graph process be taken into account.
The problem of information provision in the electric networks with RES quality
functioning is considered. An analysis of information provision in distribution electrical
networks has shown that automated systems of commercial electricity accounting
(ASCEA) are the best sources of information. However, ASCEA covers only a small part
of the consumption nodes. Other options for obtaining information is the calculation of the
typical mode (average load) or simulation of modes according to typical graphs, with the
latter option can provide a solution to the task with sufficient accuracy.
The testing of developed models and methods for assessing the electric networks with
renewable energy sources functioning quality has been tested and the feasibility of their
use has been demonstrated.
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Бібліографічний опис
Комар В. О. Оцінювання якості функціонування електричних мереж з відновлюваними джерелами енергії [Текст] : автореф. дис. на здобуття наук. ступеня доктора технічних наук : 05.14.02 / Вячеслав Олександрович Комар ; МОН України; Національний університет "Львівська політехніка". – Львів, 2019. – 42 с. – Бібліогр.: с. 31–36 (48 назв).